{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T03:02:15Z","timestamp":1773025335299,"version":"3.50.1"},"reference-count":34,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T00:00:00Z","timestamp":1753315200000},"content-version":"vor","delay-in-days":204,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2022A1515011549"],"award-info":[{"award-number":["2022A1515011549"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100018904","name":"Beijing Xisike Clinical Oncology Research Foundation","doi-asserted-by":"publisher","award":["Y-Young2024-0538"],"award-info":[{"award-number":["Y-Young2024-0538"]}],"id":[{"id":"10.13039\/100018904","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100018904","name":"Beijing Xisike Clinical Oncology Research Foundation","doi-asserted-by":"publisher","award":["Y-Young2023-0156"],"award-info":[{"award-number":["Y-Young2023-0156"]}],"id":[{"id":"10.13039\/100018904","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Biomedical Imaging"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:p>\n                    <jats:bold>Background:<\/jats:bold>\n                    This study is aimed at solving the misalignment and semantic gap caused by multiple convolutional and pooling operations in U\u2010Net while segmenting subabdominal MR images during rectal cancer treatment.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Methods:<\/jats:bold>\n                    We propose a new approach for MR Image Segmentation based on a multiscale feature pyramid network and a bidirectional cross\u2010attention mechanism. Our approach comprises two innovative modules: (1) We use dilated convolution and a multiscale feature pyramid network in the encoding phase to mitigate the semantic gap, and (2) we implement a bidirectional cross\u2010attention mechanism to preserve spatial information in U\u2010Net and reduce misalignment.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Results:<\/jats:bold>\n                    Experimental results on a subabdominal MR image dataset demonstrate that our proposed method outperforms existing methods.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Conclusion:<\/jats:bold>\n                    A multiscale feature pyramid network effectively reduces the semantic gap, and the bidirectional cross\u2010attention mechanism facilitates feature alignment between the encoding and decoding stages.\n                  <\/jats:p>","DOI":"10.1155\/ijbi\/7560099","type":"journal-article","created":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T10:49:37Z","timestamp":1753354177000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Enhancing Deep Learning\u2013Based Subabdominal MR Image Segmentation During Rectal Cancer Treatment: Exploiting Multiscale Feature Pyramid Network and Bidirectional Cross\u2010Attention Mechanism"],"prefix":"10.1155","volume":"2025","author":[{"given":"Yu","family":"Xiao","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7864-8518","authenticated-orcid":false,"given":"Xin","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Sijuan","family":"Huang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4916-3930","authenticated-orcid":false,"given":"Lihua","family":"Guo","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2025,7,24]]},"reference":[{"key":"e_1_2_14_1_2","volume-title":"History and Future of Image-Guided Radiation Therapy in Abdominal Cancer, Principles and Practice of Image-Guided Abdominal Radiation Therapy","author":"Penoncello G. 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